Gastric Adenocarcinoma Predictive Long Intergenic Non-Coding RNA Promotes Tumor Occurrence and Progression in Non-Small Cell Lung Cancer via Regulation of the miR-661/eEF2K Signaling Pathway

Background/Aims: Long non-coding RNAs (lncRNAs) play vital roles in carcinogenesis as oncogenes or tumor suppressor genes. This study explored the biological function of lncRNA gastric adenocarcinoma predictive long intergenic non-coding RNA (GAPLINC) in human non-small cell lung cancer (NSCLC). Methods: GAPLINC expression in NSCLC specimens and cell lines was detected by qRT-PCR and Western blot. The effect of GAPLINC on cell proliferation was investigated using CCK8-assay, colony formation assay, and xenograft model. The effects of GAPLINC on apoptosis and cell cycle were determined using flow cytometry. The mechanism of GAPLINC involved in NSCLC was explored using Western blot, luciferase reporter assay, and RNA fluorescence in situ hybridization. Results: We found that GAPLINC expression was up-regulated in NSCLC tissues and cell lines. Overexpression of GAPLINC was associated with poor prognosis in patients with NSCLC. Silencing of GAPLINC significantly inhibited cell proliferation, promoted apoptosis, and induced cell cycle arrest in the G0/G1 phase. Results from xenograft transplantation showed that GAPLINC silencing inhibited the tumor growth in vivo. Interestingly, GAPLINC silencing decreased the expression of eukaryotic elongation factor-2 kinase (eEF2K) protein both in vivo and in vitro. Bioinformatic analysis and luciferase reporter confirmed that miR-661 targeted GAPLINC and eEF2K 3’-UTR and was negatively correlated with the expression of GAPLINC and eEF2K. Conclusion: Our findings indicate that GAPLINC promotes NSCLC tumorigenesis by regulating miR-661/eEF2K cascade and provide new insights for the pathogenesis underlying NSCLC and potential targets for therapeutic strategy

HeadSculpt: Crafting 3D Head Avatars with Text

Recently, text-guided 3D generative methods have made remarkable advancements in producing high-quality textures and geometry, capitalizing on the proliferation of large vision-language and image diffusion models. However, existing methods still struggle to create high-fidelity 3D head avatars in two aspects: (1) They rely mostly on a pre-trained text-to-image diffusion model whilst missing the necessary 3D awareness and head priors. This makes them prone to inconsistency and geometric distortions in the generated avatars. (2) They fall short in fine-grained editing. This is primarily due to the inherited limitations from the pre-trained 2D image diffusion models, which become more pronounced when it comes to 3D head avatars. In this work, we address these challenges by introducing a versatile coarse-to-fine pipeline dubbed HeadSculpt for crafting (i.e., generating and editing) 3D head avatars from textual prompts. Specifically, we first equip the diffusion model with 3D awareness by leveraging landmark-based control and a learned textual embedding representing the back view appearance of heads, enabling 3D-consistent head avatar generations. We further propose a novel identity-aware editing score distillation strategy to optimize a textured mesh with a high-resolution differentiable rendering technique. This enables identity preservation while following the editing instruction. We showcase HeadSculpt's superior fidelity and editing capabilities through comprehensive experiments and comparisons with existing methods.Comment: Webpage: https://brandonhan.uk/HeadSculpt

Evaluation of TGFβ, XPO4, elF5A2 and ANGPTL4 as biomarkers in HCC

Hepatocellular carcinoma (HCC) is the most common type of liver cancer, and the fourth leading cause of cancer mortality worldwide. It is often diagnosed at an advanced stage, and hence typically has a poor prognosis. A number of distinct molecules have been recently identified as playing a role in the control of cancer progression. However, patients with HCC have a highly variable clinical course, indicating that HCC comprises several biologically distinctive subgroups reflecting a molecular heterogeneity of the tumors. To evaluate potential biomarkers in HCC, we employed multiple methods in this study, including qPCR, immunostaining methods and tissue microarrays (TMAs), as well as histological and pathological analysis, to assess TGF beta, XPO4, elF5A2 and ANGPTL4 in cancerous and paracancerous liver tissues from 280 patients suffering from liver cancer. Our results found that all four indicators were located in the cytoplasm and distributed in cancerous and paracancerous liver tissues. Generally, there were higher levels of these indicators in paracancerous, compared with cancerous, liver tissues. These four indicators were correlated and modulated among each other. In connection with patient clinical and revisit information, statistical analysis determined that TGF beta 1 in paracancerous liver tissue was positively correlated with tumor size. Higher production of TGF beta 1 in paracancerous liver tissue was always associated with bigger liver tumors. XPO4 in cancerous liver tissue and TGF beta 1 in paracancerous liver tissue were positively correlated with tumor differentiation. TGF beta 1, ANGPTL4 and elF5A2 were also positively correlated with the T classification of tumors. Additionally, higher levels of XPO4 in cancerous liver tissue suggested that the patient would have a better prognosis and survival rate. However, higher production of XPO4 in paracancerous liver tissue suggested a worse prognosis. All the results above provide new insights into better understanding biological indicators, such as XPO4, TGF beta 1, ANGPTL4 and elF5A2, in the prediction and evaluation of liver cancer, as well as signaling pathways in the control of liver cancer. XPO4 and TGF beta 1 may serve as useful markers to evaluate the size and prognosis of liver cancer.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000312236400020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Medicine, Research & ExperimentalSCI(E)6ARTICLE1119-127

LncRNAs elevate plant adaptation under low temperature by maintaining local chromatin landscape

Epigenetic regulation is one of the most precise and subtle ways of gene regulation, including DNA modification, histone modification, RNA modification, histone variants, chromatin remodeling, and long non-coding RNAs (lncRNAs). Chromatin modification is the most basic type of epigenetic regulation, which plays a key role in a myriad of developmental and physiological processes that have been thoroughly studied. These modifications are usually completed by a series of conserved chromatin modification complexes in eukaryotes. In recent years, a series of lncRNAs in organisms also have been described as having irreplaceable functions in biological environment adaptation, especially in biotic and abiotic stresses. Moreover, these molecules form a sophisticated regulatory network through mutual cross-regulation to achieve quantitative expression of key environmental response genes to external signals. For instance, the function of lncRNAs will directly or indirectly depend on the function of the chromatin modification complex. In this review, we mainly focus on chromatin modification, lncRNA, and their coordination mechanism to achieve the high adaptability of plants in low-temperature environments. We highlight recent findings and insights into lncRNA-mediated local chromatin environment changes during plant growth under low temperature via chromatin modification complexes, including target gene specificity for different lncRNA

Development of Chitosan/Peptide Films: Physical, Antibacterial and Antioxidant Properties

Chitosan/peptide films were prepared by incorporating peptides (0.4%, w/v) from soy, corn and caseins into chitosan films. The presence of peptides significantly affected the physical, antibacterial and antioxidative properties of chitosan films. Among these films, those containing corn peptide showed the best water vapor barrier properties, and the tensile strength and elongation at break increased to 24.80 Mpa and 23.94%, respectively. Characterization of surface hydrophobicity and thermal stability suggested the strongest intermolecular interactions between corn peptides and chitosan. Moreover, films containing casein peptides showed the highest antibacterial activity and radical scavenging activity. The DPPH scavenging rate of films containing casein peptides reached 46.11%, and ABTS scavenging rate reached 66.79%. These results indicate the chitosan/peptide films may be promising food packaging materials

Dynamic Instance Normalization for Arbitrary Style Transfer

Prior normalization methods rely on affine transformations to produce arbitrary image style transfers, of which the parameters are computed in a pre-defined way. Such manually-defined nature eventually results in the high-cost and shared encoders for both style and content encoding, making style transfer systems cumbersome to be deployed in resource-constrained environments like on the mobile-terminal side. In this paper, we propose a new and generalized normalization module, termed as Dynamic Instance Normalization (DIN), that allows for flexible and more efficient arbitrary style transfers. Comprising an instance normalization and a dynamic convolution, DIN encodes a style image into learnable convolution parameters, upon which the content image is stylized. Unlike conventional methods that use shared complex encoders to encode content and style, the proposed DIN introduces a sophisticated style encoder, yet comes with a compact and lightweight content encoder for fast inference. Experimental results demonstrate that the proposed approach yields very encouraging results on challenging style patterns and, to our best knowledge, for the first time enables an arbitrary style transfer using MobileNet-based lightweight architecture, leading to a reduction factor of more than twenty in computational cost as compared to existing approaches. Furthermore, the proposed DIN provides flexible support for state-of-the-art convolutional operations, and thus triggers novel functionalities, such as uniform-stroke placement for non-natural images and automatic spatial-stroke control

Photodynamic Effect of Riboflavin on Chitosan Coatings and the Application in Pork Preservation

Riboflavin (RF) was considered to be possessed of photoactivity to generate reactive oxygen species (ROS) under ultraviolet (UV) light, which is thought to be a favorable antibacterial candidate. Herein, RF was incorporated into chitosan (CS) coatings and treated under UV with different exposure times (2, 4, and 6 h) to improve the physicochemical and antibacterial properties. The results showed that the light transmittance and antibacterial performance of chitosan coatings gradually increased with the extension of the UV irradiation time. The antibacterial ability of chitosan coatings correlated with the generation of ROS: ∙OH and H2O2, which achieved 1549.08 and 95.48 μg/g, respectively, after 6 h irradiation. Furthermore, the chitosan coatings with UV irradiation also reduced the pH value, total volatile basic nitrogen (TVB-N), ΔE, and total viable counts (TVC) and improved sensory attributes of pork. In conclusion, the UV irradiated chitosan coatings could be used as an environmentally friendly antimicrobial packaging material to effectively delay the spoilage of pork, maintain its sensory quality and prolong its shelf life

Genome-Wide Analysis of the HDAC Gene Family and Its Functional Characterization at Low Temperatures in Tartary Buckwheat (Fagopyrum tataricum)

Histone deacetylases (HDACs), widely found in various types of eukaryotic cells, play crucial roles in biological process, including the biotic and abiotic stress responses in plants. However, no research on the HDACs of Fagopyrum tataricum has been reported. Here, 14 putative FtHDAC genes were identified and annotated in Fagopyrum tataricum. Their gene structure, motif composition, cis-acting elements, phylogenetic relationships, protein structure, alternative splicing events, subcellular localization and gene expression pattern were investigated. The gene structure showed FtHDACs were classified into three subfamilies. The promoter analysis revealed the presence of various cis-acting elements responsible for hormone, abiotic stress and developmental regulation for the specific induction of FtHDACs. Two duplication events were identified in FtHDA6-1, FtHDA6-2, and FtHDA19. The expression patterns of FtHDACs showed their correlation with the flavonoid synthesis pathway genes. In addition, alternative splicing, mRNA enrichment profiles and transgenic analysis showed the potential role of FtHDACs in cold responses. Our study characterized FtHDACs, providing a candidate gene family for agricultural breeding and crop improvement